Gait analysis system and method

• US 9,700,241 B2
• Filed: 12/04/2013
• Issued: 07/11/2017
• Est. Priority Date: 12/04/2012
• Status: Active Grant

• Current Assignee: Under Armour Incorporated
• Original Assignee: Under Armour Incorporated
• Inventors: Eastman, Kyler, Callahan, Kevin, Thurston, Robin
• Primary Examiner(s): Do, An
• Assistant Examiner(s): Wilson, Renee I
• Application Number:
  US14/097,082
• Publication Number:
  US 20140156215A1
• Time in Patent Office: 1,315 Days
• Field of Search: None
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/112 Gait analysis
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers

Abstract

A system for gait analysis may include a mobile data recording device configured to record accelerations associated with user motion and a data processing device in communication with the mobile data recording device. The data processing device can be configured to receive acceleration data from the mobile data recording device and process the acceleration data to extract stride data sequences from the acceleration data through use of bounding boxes on one or more points of the acceleration data. Each of the stride data sequences comprising data for a corresponding stride. The bounding boxes may define time and acceleration bounds. The data processing system may further determine one or more stride metrics. According to one embodiment, the data recording device may be a smartphone or other device having an accelerometer with a limited range that is inadequate to capture the full range of accelerations experienced by a runner.

Claims

1. A system for gait analysis comprising:

a mobile data recording device comprising an accelerometer, the data recording device configured to record accelerations associated with user motion; and

a data processing device in communication with the mobile data recording device, the data processing device configured to;

receive acceleration data from the mobile data recording device;

normalize a frame of reference of the acceleration data to relative to a surface on which the user moves;

apply a placement compensation to the acceleration data to adjust for a placement of the mobile data recording device at a position other than directly centered at a base of the user'"'"'s spine;

process the acceleration data to extract stride data sequences from the acceleration data, each of the stride data sequences comprising data for a corresponding stride; and

determine one or more stride metrics utilizing the stride data sequences;

wherein the stride metrics are utilized by the user to gage efficiency via comparison to previously attained stride metrics.

2. A system in accordance with claim 1, wherein at least one of the mobile data recording device and the data processing device comprises a smartphone.

3. A system in accordance with claim 2, wherein the accelerometer has a vertical acceleration limit such that vertical acceleration data for the user is not measured at or above the acceleration limit.

4. A system in accordance with claim 3, wherein the data processing device is further configured to estimate the vertical acceleration which was not measured via equalization of an area of a vertical acceleration curve above and below a predefined threshold.

5. The non-transitory computer readable medium of claim 4, wherein the act of estimation further comprises a determination of a measure correlated with maximum vertical acceleration from the stride data sequences based on a sum of accelerations above and below a threshold.

6. A system in accordance with claim 1, wherein the data processing device is further configured to utilize lateral acceleration data to left/right sort strides.

7. A system in accordance with claim 1, wherein the data processing device is further configured to provide the one or more stride metrics to the data recording device for display to the user in real time.

8. The system of claim 1, wherein the one or more stride metrics comprise at least one of:

a stride rate, a measure correlated to maximum vertical acceleration, or contact time.

9. A method for gait analysis, comprising:

at a mobile data recording device comprising a sensor, recording acceleration data associated with a user'"'"'s gait collected during a run; and

at a data processing device, processing the acceleration data, the processing comprising;

estimating acceleration values which exceed an acceleration limit of the mobile data recording device;

adjusting a frame of reference of the estimated and collected acceleration data relative to a surface on which the user moves;

extracting stride data sequences from the normalized acceleration data, each of the stride data sequences defining a stride of the run;

determining one or more stride metrics utilizing the stride data sequences; and

providing the one or more stride metrics for display on a display device;

wherein the display further comprises a display of previously determined stride metrics for the user in order to enable the user to gauge progress.

10. A method in accordance with claim 9, wherein the act of estimating further comprises determining a measure correlated with maximum vertical acceleration from the stride data sequences based on a sum of accelerations above and below a threshold.

11. A method in accordance with claim 9, further comprising sorting left and right strides based on lateral acceleration data.

12. A method in accordance with claim 9, further comprising, determining stride rate based on the stride data sequences.

13. A method in accordance with claim 9, further comprising, determining contact time based on the stride data sequences.

14. A method in accordance with claim 9, wherein at least one of the data recording device and the data processing device comprises a smartphone.

15. A method in accordance with claim 9, further comprising applying a placement compensation to the acceleration data to adjust for a placement of the mobile data recording device on the user.

16. A non-transitory computer readable medium comprising a plurality of instructions which are configured to, when executed by a processor:

receive acceleration data collected by a mobile data recording device worn by a user during traversal of a route;

extract stride data sequences from the acceleration data, each of the stride data sequences comprising data for a corresponding stride;

determine one or more stride metrics utilizing the stride data sequences at least one of the stride metrics comprising a quality identifier; and

provide the one or more stride metrics for display on a map of the route by the data recording device;

wherein the display comprises a color-coded visual depiction of the quality identifier associated to each stride throughout traversal of the route; and

wherein the display of the stride metric further enables the user to gauge efficiency via a review previously determined stride metrics.

17. The non-transitory computer readable medium of claim 16, wherein the mobile data recording device is incapable of recording acceleration above a given limit, and the plurality of instructions are further configured to, when executed, estimate a vertical acceleration which above the limit via equalization of an area of a vertical acceleration curve above and below a predefined threshold.

18. The non-transitory computer readable medium of claim 16, wherein at least one of the stride metrics comprises stride rate based on the stride data sequences.

19. The non-transitory computer readable medium of claim 16, wherein at least one of the stride metrics comprises contact time based on the stride data sequences.

20. The non-transitory computer readable medium of claim 16, wherein the extraction of stride data sequences from the acceleration data comprises

normalization of a frame of reference of the acceleration data to relative to a surface on which the user moves.

21. The non-transitory computer readable medium of claim 16, wherein the extraction of stride data sequences from the acceleration data comprises application of a placement compensation to the acceleration data to adjust for a placement of the mobile data recording device on the user.